Eve of DML

This week will see the release of BentoBoxDS 2.6 that will give the use of various open source LLM's. This allows beebee to set the context of each question for example: a peer is in the posture space and asks a question, the LLM will be given this information as the context to answer the question. And over time the depth of context will deepen. I sit a lot a computer, I train three times a week in the gym, I have a history of injuries or accidents. My goals is to . . . . . . . .

These LLM's are general by design and there ability to use such deep context is limited, well today at least. What is needed is for each peer to 'fine tune' their context. There are two ways to achieve that. First tell the AI in the cloud all your details or secondly, value your sovereignty and privacy and share that locally with your own open source AI.

Fine tune in isolation make progress. Fine tuning with a network of peers, well that opens up a new frontier in machine learning. DML coming soon.